Senior Data Scientist

Job Purpose

The Senior Data Scientist is responsible for transforming VulcanForms’ factory data into clear, actionable insights that drive decision-making across Engineering, Operations, Quality, and Commercial teams. This role applies advanced analytics, statistics, and machine learning to understand manufacturing performance, identify opportunities for improvement, and deliver user-facing AI tools and reports that make complex data accessible to a broad audience.

By combining strong analytical rigor, software engineering discipline, and the ability to clearly communicate technical results, the Senior Data Scientist accelerates the adoption of data- and AI-driven insights throughout VulcanForms and supports continuous improvement of our advanced manufacturing operations.

Key Responsibilities

• Design, deploy, and maintain analytics applications, dashboards, and reports that make insights accessible and actionable. Examples include printer diagnostics, print summaries, and operational efficiency metrics.
• Apply statistical methods, machine learning, and advanced algorithms to factory data to uncover trends, root causes, and opportunities that inform operational and business decisions.
• Design and execute exploratory analysis and experiments to test hypotheses about process inputs, correlations, and performance drivers.
• Provide data-backed recommendations to improve manufacturing workflows, yield, throughput, and quality.
• Create intuitive visualizations and dashboards that make data easy to understand and enable rapid insight into factory performance.
• Translate complex analytical findings into clear narratives and recommendations for non-technical stakeholders, including Operations leaders and executives.
• Partner closely with Data, ML, Software, Manufacturing, Quality, and Systems Engineering teams to ensure analytics are well-integrated, reliable, and aligned with business needs.
• Contribute to standards for analytical development, validation, documentation, and reproducibility to ensure trust and scalability of analytics across the organization.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of experience in data science, applied analytics, or machine learning roles.
• Strong proficiency in Python for data analysis, modeling, and visualization.
• Established experience in statistics, experimental design, and data analysis techniques.
• Experience developing and deploying analytical models or data-driven insights used in real operational environments.
• Ability to clearly communicate technical concepts and results to non-technical audiences.
• Strong software engineering fundamentals, including version control, testing, and reproducible workflows.
• Ability to work independently while collaborating effectively across multiple teams.

Preferred Qualifications

• Experience applying analytics or machine learning in manufacturing, industrial, hardware, or operations-heavy environments.
• Familiarity with machine learning techniques for time series, anomaly detection, predictive modeling, or optimization.
• Proficiency in programming with SQL.
• Experience building or contributing to user-facing analytics tools or dashboards using Python libraries like Dash or Business Intelligence platforms like Tableau.
• Experience working with large, complex, or sensor-generated datasets.
• Familiarity with ML production workflows and collaboration with Data Engineering or ML Ops teams.
• Experience driving adoption of analytics tools across diverse stakeholder groups
• Familiarity with metal Additive Manufacturing process physics and operational workflows, especially for Laser Powder Bed Fusion.

VulcanForms offers a competitive salary and equity package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, VulcanForms provides comprehensive benefits including medical, dental, vision, and life insurance; generous paid time off; and a 401(k) plan with company match.

The annual base salary range for this position is $125,000 to $170,000.